Optimal Filtering: Volume II: Spatio-Temporal Fields: Mathematics and Its Applications, cartea 481
Autor V. N. Fominen Limba Engleză Hardback – 31 mai 1999
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (2) | 625.85 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 13 oct 2012 | 625.85 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 10 oct 2012 | 626.81 lei 6-8 săpt. | |
Hardback (2) | 632.55 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 31 mai 1999 | 632.55 lei 6-8 săpt. | |
SPRINGER NETHERLANDS – 30 noi 1998 | 632.99 lei 6-8 săpt. |
Din seria Mathematics and Its Applications
- Preț: 228.74 lei
- 18% Preț: 918.48 lei
- 15% Preț: 629.85 lei
- 15% Preț: 633.31 lei
- 15% Preț: 574.68 lei
- Preț: 383.06 lei
- 18% Preț: 928.14 lei
- 15% Preț: 570.05 lei
- 5% Preț: 636.42 lei
- 15% Preț: 639.84 lei
- 15% Preț: 629.99 lei
- 15% Preț: 587.53 lei
- Preț: 383.65 lei
- 15% Preț: 633.17 lei
- Preț: 374.75 lei
- Preț: 383.26 lei
- 15% Preț: 686.07 lei
- Preț: 379.88 lei
- Preț: 378.62 lei
- 15% Preț: 568.30 lei
- 15% Preț: 635.25 lei
- 15% Preț: 570.22 lei
- 20% Preț: 577.41 lei
- Preț: 384.22 lei
- 15% Preț: 584.65 lei
- 15% Preț: 577.51 lei
- 15% Preț: 633.17 lei
- 15% Preț: 630.48 lei
- Preț: 381.05 lei
- 15% Preț: 630.48 lei
- 15% Preț: 625.05 lei
- Preț: 378.41 lei
Preț: 632.55 lei
Preț vechi: 744.18 lei
-15% Nou
Puncte Express: 949
Preț estimativ în valută:
121.05€ • 126.94$ • 100.94£
121.05€ • 126.94$ • 100.94£
Carte tipărită la comandă
Livrare economică 08-22 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780792357346
ISBN-10: 0792357345
Pagini: 359
Ilustrații: XII, 359 p.
Dimensiuni: 170 x 244 x 26 mm
Greutate: 0.72 kg
Ediția:1999
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematics and Its Applications
Locul publicării:Dordrecht, Netherlands
ISBN-10: 0792357345
Pagini: 359
Ilustrații: XII, 359 p.
Dimensiuni: 170 x 244 x 26 mm
Greutate: 0.72 kg
Ediția:1999
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematics and Its Applications
Locul publicării:Dordrecht, Netherlands
Public țintă
ResearchCuprins
1 Fields and means of describing them.- 1.1 Regular fields.- 1.2 Generalized fields.- 1.3 Spatio-temporal fields and frequency-wave fields.- 1.4 Stochastic discrete fields.- 1.5 Proofs of Lemmas and Theorems.- 1.6 Bibliographical Comments.- 2 Models of continuous fields and associated problems.- 2.1 Fields in electrodynamics.- 2.2 Acoustic fields.- 2.3 Parametric vibrations of distributed systems.- 2.4 Proofs of Lemmas and Theorems.- 2.5 Bibliographical Comments.- 3 Filtering of spatio-temporal fields.- 3.1 Linear filters and antenna arrays.- 3.2 Signal optimal detection.- 3.3 Estimation of angles of arrival of local signals.- 3.4 Proofs of Lemmas and Theorems.- 3.5 Bibliographical Comments.- 4 Optimal filtering of discrete homogeneous fields.- 4.1 Optimal filtering of discrete homogeneous fields.- 4.2 Synthesis of optimal physically realizable stationary filter.- 4.3 Optimal prediction of two-dimensional regressive fields.- 4.4 Multi-dimensional factorization and its attendant problems.- 4.5 Proofs of lemmas and theorems.- 4.6 Bibliographical Comments.- A Appendix: Fields in electrodynamics.- A.1 Self-conjugate Laplace operator.- A.1.1 Laplace operator in invariant subspace.- A.1.2 Invariant subspaces of Laplace operator.- A.1.3 Continuous spectrum of Laplace operator.- A.2 Electrodynamic problem in tube domain.- A.2.1 Eigenfields in tube domain.- A.2.2 Example: Oscillations in rectangular resonator.- A.2.3 Example: Rectangular semi-infinite waveguide.- A.3 Proofs of Lemmas and Theorems.- A.3.1 Proof of Lemma A.1.- A.3.2 Proof of Lemma A.2.- A.3.3 Proof of Lemma A.3.- A.3.4 Proof of Lemma A.4.- A.3.5 Proof of Lemma A.5.- A.3.6 Proof of Lemma A.6.- A.3.7 Proof of Theorem A. 1.- A.4 Bibliographical Comments.- B Appendix: Spectral analysis of time series.- B.1 Reconstruction of spectral densities.- B.1.1 Quasi-stationary signals and their power spectra.- B.1.2 Optimal estimation of power spectrum.- B.2 Padé approximation.- B.2.1 Padé approximation of analytic function.- B.2.2 Padé approximation of spectral density.- B.3 Identification of regressive equation.- B.3.1 Optimal prediction.- B.3.2 Estimation of coefficients of regressive equation.- B.4 Proofs of Lemmas and Theorems.- B.4.1 Proof of Lemma B.l.- B.4.2 Proof of Theorem B.l.- B.4.3 Proof of Theorem B.2.- B.4.4 Proof of Theorem B.3.- B.4.5 Proof of Lemma B.2.- B.4.6 Proof of Theorem B.4.- B.4.7 Proof of Lemma B.3.- B.4.8 Proof of Lemma B.4.- B.4.9 Proof of Lemma B.5.- B.4.10 Proof of Lemma B.6.- B.5 Bibliographical Comments.- C Appendix: Spectral analysis of discrete homogeneous fields.- C.1 Latticed cones and functions.- C.1.1 Latticed cones.- C.1.2 Latticed fields.- C.2 Discrete fields.- C.2.1 Generalized discrete fields.- C.2.2 Stochastic fields.- C.3 Latticed cone filters.- C.3.1 Stable linear filters.- C.3.2 Multi-variate analog of Padé approximation.- C.4 Proofs of Lemmas and Theorems.- C.4.1 Proof of Lemma C.l.- C.4.2 Proof of Theorem C.l.- C.4.3 Proof of Lemma C.2.- C.4.4 Proof of Theorem C.2.- C.5 Bibliographical Comments.- References.- Notation.